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Lead a software squad while remaining hands-on with Java and Spring Boot backend development and Angular frontend work. Design RESTful APIs, guide migration to domain-driven architecture and bounded contexts, mentor junior developers, and uphold engineering standards. Work with Kafka, relational databases, JPA/Hibernate, and agile development practices. Nice-to-have experience includes cloud platforms, Docker, CI/CD, legacy modernization, and loyalty or fintech systems.

Lead a software squad while remaining hands-on with Java and Spring Boot backend development and Angular frontend work. Design scalable RESTful APIs, guide migration to domain-driven architecture and bounded contexts, mentor junior developers, and maintain strong engineering standards. Work with Kafka, relational databases, JPA/Hibernate, performance optimization, and software design patterns. Cloud, containerization, CI/CD, and fintech or loyalty experience are advantageous.

Lead a software squad while remaining hands-on in backend development with Java and Spring Boot and frontend work with Angular. Design RESTful APIs, guide migration toward domain-driven design and bounded contexts, mentor junior developers, enforce engineering standards, and support agile delivery. The role also involves Kafka, relational databases, JPA/Hibernate, architecture, performance, and legacy modernization.

Leads a software squad while remaining hands-on in Java and Spring Boot backend development and Angular frontend work. Designs RESTful APIs, guides migration to domain-driven architecture, mentors junior developers, and maintains engineering standards. Requires expertise in Java, Spring Boot, Angular, Kafka, REST, OOA/OOD, bounded contexts, relational databases, and JPA/Hibernate. Cloud, Docker, CI/CD, fintech, loyalty, and legacy modernization experience are preferred. The position is fully remote with flexible hours.

Lead a software squad while remaining hands-on with Java and Spring Boot backend development and Angular frontend work. Design RESTful APIs, guide migration toward domain-driven architecture and bounded contexts, mentor junior developers, and uphold engineering standards. Build scalable services, work with Kafka, PostgreSQL, Oracle, JPA, and Hibernate, and contribute to performance, architecture, and agile delivery. Cloud, containerization, CI/CD, legacy refactoring, and fintech or loyalty experience are preferred.

Design and build low-latency .NET backend services and RESTful APIs, develop Angular front-ends, ensure high test automation coverage, use message-driven systems (Kafka/RabbitMQ), maintain CI/CD with GitHub Actions, and monitor production with Splunk for a large-scale financial platform.

Support reliability, monitoring, and modernization of Kubernetes-based microservices platforms. Build Datadog observability solutions including dashboards, alerts, APM, metrics, logs, and tracing; integrate tooling with AWS and CI/CD pipelines; automate operational tasks with Python; manage agents, integrations, API keys, and access controls; and lead platform maintenance and improvements for reliability, scalability, and performance.

Design and implement low-latency .NET backend services and RESTful APIs, build Angular UIs, work with microservices and message-driven systems (Kafka/RabbitMQ), maintain >80% test coverage, own production lifecycle via GitHub Actions and Splunk, define OpenAPI contracts, and collaborate in Agile/Scrum teams to deliver investment-analytics tools.

Own product information quality and movement from business teams to market. Validate, enrich, upload, and syndicate product data through inRiver and other PIM systems. Resolve data gaps with stakeholders, support channel data issues, communicate requirements, track launch status, and maintain syndication templates for retailers and marketplaces.

Own the transition of AI/ML models from experimentation to production. Build scalable infrastructure, automation, and CI/CD pipelines; implement monitoring, dashboards, drift detection, experiment tracking, and model versioning; and manage cloud environments and GPU resources for reliable, cost-effective deployments. Collaborate with data scientists and AI researchers to productionize models. The role requires onsite work in Dallas, Texas.